English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/139347
logo share SHARE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Gridded time series of maximum and minimum temperatures for Peru (1964-2014)

AutorVicente Serrano, Sergio M.
Palabras claveTemperature
Regression-based interpolation
Fecha de publicación26-oct-2016
CitaciónVicente-Serrano, Sergio M. 2016. Gridded time series of maximum and minimum temperatures for Peru (1964-2014) [Dataset], DIGITAL.CSIC, http://dx.doi.org/10.20350/digitalCSIC/7389
ResumenThis dataset includes 5 km. spatial resolution time series of maximum and minimum temperatures for the entire Peru. The gridded data has been created using the entire temperature series available for Peru, which were subjected to a quality control and homogenization procedure. Gridded data was created by means of a regression-based approach using terrain and topographic variables as inputs. One independent model was created for each month of the series. Residuals were interpolated by means of a IDW procedure. The data was validated using a jackknife approach.
DescripciónThis contains two zip files with one file each one, corresponding to the maximum and minimum temperatures. The format of the files is netCDF3. Each file contains 282 longitudes, 407 latitudes and 607 times (from January 1964 to July 2014). Projection is Geographic (WGS84). The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL.
ReferenciasDetails of the methodology and validation results can be found at: S.M. Vicente-Serrano, Juan I. López-Moreno, Kris Correa, Grinia Avalos, Juan Bazo, Cesar Azorin-Molina, Fernando Domínguez-Castro, Ahmed El Kenawy, Luis Gimeno, Raquel Nieto, Recent changes in monthly surface air temperature over Peru, 1964-2014.International Journal of Climatology, 2017, DOI 10.1002/joc.5176.
Aparece en las colecciones: (IPE) Conjuntos de datos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
Tmax.zipMonthly gridded maximum temperature in netCDF3 format 125,46 MBUnknownVisualizar/Abrir
Tmin.zipMonthly gridded minimum temperature in netCDF3 format 132,17 MBUnknownVisualizar/Abrir
Readme_gridded_data_Peru.txt1,49 kBTextVisualizar/Abrir
Mostrar el registro completo

NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.